Vehicle maintenance shop portrait construction method, device and equipment and storage medium

Abstract

The invention discloses a vehicle maintenance shop portrait construction method, device and equipment and a storage medium, and relates to the field of vehicle data processing, and the method comprises the steps: obtaining diagnosis information, vehicle basic information and maintenance shop basic information corresponding to a vehicle based on a vehicle diagnosis instrument, and triggering a corresponding cloud database storage operation; processing the diagnosis information, the vehicle basic information and the maintenance factory basic information stored in a cloud database to obtain processed data; performing maintenance vehicle type analysis, region ranking analysis and accumulated maintenance vehicle number analysis of the repair plants by using the processed data to obtain analysis results corresponding to the repair plants; and performing label generation based on a preset portrait construction rule and the analysis results corresponding to the repair shops, and performing portrait construction by using obtained label information to determine a current repair shop portrait. The vehicle diagnosis instrument can be effectively utilized to accurately construct the vehicle repair shop portrait.

Description

Technical Field

[0001] The present invention relates to the field of vehicle data processing, and in particular to a vehicle repair shop portrait construction method, device, equipment and storage medium. Background Art

[0002] At present, in order to build a portrait of a vehicle repair shop and intuitively display the technical strength and maintenance experience of the repair shop, the existing implementation plan mainly collects repair shop information through manual means such as questionnaires and information reporting. When manually collecting repair shop data, it is difficult to ensure that all relevant information is fully recorded. Therefore, some key information may not be collected due to negligence or omissions, resulting in not only incomplete data, but also inaccurate data to a certain extent, which will directly have a bad impact on the accuracy and reliability of subsequent analysis. Summary of the invention

[0003] In view of this, the purpose of the present invention is to provide a vehicle repair shop portrait construction method, device, equipment and storage medium, which can effectively use the vehicle diagnostic instrument to accurately construct a vehicle repair shop portrait, so as to intuitively, accurately and reliably display the technical strength and maintenance experience of the repair shop, and provide strong support for the development of the repair shop. The specific scheme is as follows:

[0004] In a first aspect, the present application provides a method for constructing a vehicle repair shop portrait, comprising:

[0005] Obtain diagnostic information, basic vehicle information, and basic repair shop information corresponding to the vehicle based on the vehicle diagnostic instrument, and trigger corresponding cloud database storage operations;

[0006] Processing the diagnostic information, the basic vehicle information, and the basic repair shop information stored in the cloud database to obtain processed data;

[0007] Using the processed data, respectively, the repair shop's repair vehicle model analysis, regional ranking analysis, and cumulative repair vehicle number analysis are performed to obtain analysis results corresponding to each of the repair shops;

[0008] Labels are generated based on preset portrait construction rules and the analysis results corresponding to each of the repair shops, and the obtained label information is used to construct a portrait to determine the current repair shop portrait.

[0009] Optionally, the obtaining of diagnostic information corresponding to the vehicle, basic vehicle information, and basic repair shop information based on a vehicle diagnostic instrument includes:

[0010] Reading basic vehicle information based on a vehicle diagnostic instrument and an on-board automatic diagnostic system interface of the vehicle; the basic vehicle information includes vehicle model and vehicle frame number;

[0011] The basic information of the vehicle's repair shop is obtained by using the basic information input interface of the vehicle diagnostic instrument; the basic information of the repair shop includes the name of the repair shop, the contact information of the repair shop and the address of the repair shop.

[0012] Optionally, the triggering of a corresponding cloud database storage operation includes:

[0013] The diagnostic information, the basic vehicle information and the basic repair shop information corresponding to the vehicle are uploaded and stored in a cloud database located in a cloud server.

[0014] Optionally, the processing of the diagnostic information, the basic vehicle information, and the basic repair shop information stored in the cloud database includes:

[0015] The diagnostic information, the basic vehicle information and the basic repair shop information stored in the cloud database are processed to identify and delete duplicate data and abnormal data, so as to complete the corresponding data processing operation and obtain processed data.

[0016] Optionally, the processing data is used to analyze the repair vehicle model, regional ranking and cumulative repair vehicle number of the repair shop, including:

[0017] Determine the types of vehicles to be repaired by each repair shop and the number of vehicles corresponding to each type of vehicle to be repaired by analyzing the processed data, and sort the vehicles based on the number of vehicles corresponding to each type of vehicle to determine the target vehicle models that each repair shop is good at;

[0018] Based on the preset area demarcation information, the types of vehicle repaired by each of the repair shops, and the number of vehicles corresponding to each type of vehicle repaired, sorting is performed using the vehicle type and the number of vehicles as indicators to determine the regional ranking information of each of the repair shops;

[0019] The accumulated number of vehicles repaired by each of the repair shops is determined by analyzing the processed data.

[0020] Optionally, the generating of labels based on preset profile building rules and the analysis results corresponding to the respective repair shops, and using the obtained label information to build the profile includes:

[0021] Generate labels based on the analysis results corresponding to each of the repair shops to obtain label information of each of the repair shops; the label information includes a repair shop address label, a model label that the shop is good at, a cumulative number of repaired vehicles label, and a regional ranking label;

[0022] The profiles of the current repair shop are constructed by using the label information of each repair shop in a list format.

[0023] Optionally, the method further includes:

[0024] Based on the pre-configured update time information, jump back to the step of obtaining the diagnostic information corresponding to the vehicle, the basic vehicle information and the basic repair shop information based on the vehicle diagnostic instrument to complete the corresponding portrait update operation and obtain the updated current repair shop portrait.

[0025] In a second aspect, the present application provides a vehicle repair shop portrait construction device, comprising:

[0026] An information acquisition module is used to acquire diagnostic information corresponding to the vehicle, basic vehicle information, and basic repair shop information based on the vehicle diagnostic instrument, and trigger corresponding cloud database storage operations;

[0027] A data processing module, used to process the diagnostic information, the basic vehicle information and the basic repair shop information stored in the cloud database to obtain processed data;

[0028] A data analysis module, for using the processed data to respectively analyze the repair vehicle types, regional rankings and cumulative repair vehicle numbers of the repair shops, so as to obtain analysis results corresponding to each of the repair shops;

[0029] The portrait construction module is used to generate labels based on preset portrait construction rules and the analysis results corresponding to each of the repair shops, and use the obtained label information to construct a portrait to determine the current repair shop portrait.

[0030] In a third aspect, the present application provides an electronic device, including:

[0031] Memory, used to store computer programs;

[0032] The processor is used to execute the computer program to implement the steps of the aforementioned vehicle repair shop portrait construction method.

[0033] In a fourth aspect, the present application provides a computer-readable storage medium for storing a computer program, which, when executed by a processor, implements the steps of the aforementioned vehicle repair shop portrait construction method.

[0034] It can be seen that in this application, based on the vehicle diagnostic instrument, the diagnostic information corresponding to the vehicle, the basic information of the vehicle and the basic information of the repair shop are obtained, and the corresponding cloud database storage operation is triggered; the diagnostic information, basic information of the vehicle and the basic information of the repair shop saved in the cloud database are processed to obtain the processed data; the processed data are used to analyze the repair model of the repair shop, the regional ranking analysis and the cumulative number of repaired vehicles, so as to obtain the analysis results corresponding to each repair shop; based on the preset portrait construction rules and the analysis results corresponding to each repair shop, the label is generated, and the obtained label information is used to construct the portrait to determine the current repair shop portrait. That is, in this application, the vehicle diagnostic instrument is first used to obtain the diagnostic information, basic information of the vehicle and the basic information of the repair shop, and then the above information is used to analyze the repair model of the repair shop, the regional ranking analysis and the cumulative number of repaired vehicles, and the analysis results of each repair shop are used to generate labels to determine the current repair shop portrait. In this way, the vehicle diagnostic instrument can be effectively used to accurately construct the vehicle repair shop portrait, so that the technical strength and maintenance experience of the repair shop can be intuitively, accurately and reliably displayed, providing strong support for the development of the repair shop. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying creative work.

[0036] Figure 1 A flow chart of a vehicle repair shop portrait construction method provided in this application;

[0037] Figure 2 A schematic diagram of a repair shop provided for this application;

[0038] Figure 3 A schematic diagram of the structure of a vehicle repair shop portrait construction device provided in this application;

[0039] Figure 4 A structural diagram of an electronic device provided for this application. DETAILED DESCRIPTION

[0040] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0041] At present, in order to construct a portrait of a vehicle repair shop to intuitively display the technical strength and maintenance experience of the repair shop, the existing implementation plan mainly collects repair shop information through manual means such as questionnaires and information reporting. When manually collecting repair shop data, it is difficult to ensure that all relevant information is fully recorded. Therefore, some key information may not be collected due to negligence or omissions, resulting in not only incomplete data, but also inaccurate data to a certain extent, which will directly have a bad impact on the accuracy and reliability of subsequent analysis. To this end, the present application provides a vehicle repair shop portrait construction scheme that can effectively use vehicle diagnostic instruments to accurately construct a vehicle repair shop portrait, so that the technical strength and maintenance experience of the repair shop can be intuitively, accurately and reliably displayed, providing strong support for the development of the repair shop.

[0042] See also Figure 1 As shown, an embodiment of the present invention discloses a method for constructing a vehicle repair shop portrait, including:

[0043] Step S11: obtaining diagnostic information, basic vehicle information and basic repair shop information corresponding to the vehicle based on the vehicle diagnostic instrument, and triggering a corresponding cloud database storage operation.

[0044] Specifically, in this embodiment, the data to be processed is first obtained. That is, the basic information of the vehicle is read based on the vehicle diagnostic instrument and the vehicle's on-board automatic diagnostic system interface; the basic information of the vehicle includes the vehicle model and frame number; the basic information of the vehicle's repair shop is obtained using the basic information input interface of the vehicle diagnostic instrument; the basic information of the repair shop includes the name of the repair shop, the contact information of the repair shop, and the address of the repair shop. In other words, the repair shop personnel can use the vehicle diagnostic instrument to read the basic information of the vehicle, including the vehicle model, frame number, etc., through the vehicle's OBD (On-Board Diagnostics, on-board automatic diagnostic system) interface. At the same time, the vehicle diagnostic instrument also provides a basic information input function module for the repair shop, including the name of the repair shop, the contact information of the repair shop, etc., and obtains the location of the repair shop.

[0045] After that, the corresponding cloud database storage operation is triggered, that is, the diagnostic information corresponding to the vehicle, the basic information of the vehicle, and the basic information of the repair shop are uploaded and stored in association with the cloud database located in the cloud server. That is to say, in this embodiment, the diagnostic data and the basic information of the repair shop are uploaded to the cloud server in real time, including the vehicle information (model, frame number) and the basic information of the repair shop are uploaded to the cloud platform. The diagnostic data and the basic information of the repair shop are stored in association with each other in the same cloud database.

[0046] Step S12: Process the diagnostic information, the basic vehicle information, and the basic repair shop information stored in the cloud database to obtain processed data.

[0047] In this embodiment, after acquiring the data, some processing needs to be performed on the data to ensure the smooth progress of subsequent operations. That is, the diagnostic information, basic vehicle information, and basic repair shop information stored in the cloud database are processed to identify and delete duplicate data and abnormal data to complete the corresponding data processing operations and obtain processed data. In other words, this embodiment will remove duplicate data records (the frame number is unique, and the same frame number is recorded as 1 vehicle) and abnormal data (wrong repair shop location information, wrong repair shop information) in the cloud database.

[0048] Step S13, using the processed data to respectively perform maintenance vehicle model analysis, regional ranking analysis and cumulative maintenance vehicle number analysis of the repair shops, so as to obtain analysis results corresponding to each of the repair shops.

[0049] In this embodiment, after the data processing is completed, key indicator analysis will be performed. That is, the types of vehicle models that each repair shop repairs and the number of vehicles corresponding to each type of vehicle repaired are determined by analyzing the processed data, and the number of vehicles corresponding to each type of vehicle repaired is sorted to determine the target vehicle models that each repair shop is good at; based on the preset area demarcation information, the types of vehicle models that each repair shop repairs and the number of vehicles corresponding to each type of vehicle repaired are sorted by vehicle model and vehicle number as indicators to determine the regional ranking information of each repair shop; the cumulative number of vehicles repaired by each repair shop is determined by analyzing the processed data. That is to say, in this embodiment, the repair shop's good vehicle models, regional rankings and cumulative number of vehicles repaired are analyzed separately.

[0050] It should be understood that for the analysis of the best models, for each repair shop, all the repair model information is obtained based on the accumulated diagnostic data, and the number of vehicles repaired by each model in each repair shop is counted, and the models ranked in the top five in terms of the number of repaired vehicles are taken as the best models of the repair shop. Furthermore, a real-time analysis module can be designed to dynamically update the ranking of the best models based on the newly added data.

[0051] At the same time, for regional ranking analysis, we compare each repair shop in a certain area of ​​a city, count the models with diagnosis records and the number of vehicles repaired for the corresponding models, sort by "model" and "number of vehicles repaired for the corresponding models", and compare the performance of each repair shop in terms of the repair volume of the same model. We generate the top 10 vehicle repair shops in the city and area in terms of the number of vehicles repaired for each model in the past year.

[0052] In addition, regarding the analysis of the cumulative number of repaired vehicles, the cumulative number of repaired vehicles at each repair shop and the number of vehicles with the largest number of repairs are counted.

[0053] Step S14: Generate labels based on preset portrait construction rules and the analysis results corresponding to each of the repair shops, and use the obtained label information to construct a portrait to determine the current repair shop portrait.

[0054] It is understandable that after completing the key indicator analysis, this embodiment constructs a repair shop portrait based on the obtained analysis results, and displays it in an intuitive and easy-to-understand list format, including address labels, labels for vehicle models that are good at, labels for the cumulative number of vehicles repaired, labels for regional rankings, and labels for the largest number of vehicles repaired. That is, labels are generated based on the analysis results corresponding to each repair shop to obtain label information for each repair shop; the label information includes the repair shop address label, label for vehicle models that are good at, label for the cumulative number of vehicles repaired, and label for regional rankings; a list format is used to construct a portrait using the label information of each repair shop to determine the current repair shop portrait. For details, please refer to Figure 2 Schematic diagram of the repair shop shown.

[0055] It is further to be understood that in this embodiment, a timed portrait update function is also provided, and the portrait content is automatically updated as the diagnostic data and basic information of the repair shop are updated. That is, based on the pre-configured update time information, the process jumps again to the step of obtaining the diagnostic information corresponding to the vehicle, the basic vehicle information, and the basic repair shop information based on the vehicle diagnostic instrument, so as to complete the corresponding portrait update operation and obtain the updated current repair shop portrait.

[0056] In summary, this embodiment, based on big data technology and vehicle diagnostic technology, deeply mines and analyzes the accumulated diagnostic data generated by vehicle repair shops using vehicle diagnostic instruments, focusing on key indicators such as the models they are good at, regional rankings, cumulative number of repaired vehicles, and number of vehicles with the most repaired models, to accurately build a portrait of the vehicle repair shop. It can intuitively display the technical strength and maintenance experience of the repair shop, provide strong support for the development of the repair shop, and at the same time provide a reference for car owners to choose high-quality services.

[0057] It can be seen that in the embodiment of the present application, the diagnostic information, basic vehicle information and basic repair plant information corresponding to the vehicle are obtained based on the vehicle diagnostic instrument, and the corresponding cloud database storage operation is triggered; the diagnostic information, basic vehicle information and basic repair plant information stored in the cloud database are processed to obtain processed data; the processed data are used to analyze the repair model, regional ranking and cumulative repair vehicle number of the repair plant respectively, so as to obtain the analysis results corresponding to each repair plant respectively; based on the preset portrait construction rules and the analysis results corresponding to each repair plant respectively, labels are generated, and the obtained label information is used to construct the portrait to determine the current repair plant portrait. That is, in the present application, the vehicle diagnostic instrument is first used to obtain the vehicle diagnostic information, basic vehicle information and basic repair plant information, and then the above information is used to analyze the repair model, regional ranking and cumulative repair vehicle number of the repair plant respectively, and the analysis results of each repair plant are used to generate labels to determine the current repair plant portrait. In this way, the vehicle diagnostic instrument is effectively used to accurately construct the vehicle repair plant portrait, so that the technical strength and maintenance experience of the repair plant can be intuitively, accurately and reliably displayed, providing strong support for the development of the repair plant.

[0058] See also Figure 3 As shown, the embodiment of the present application also discloses a vehicle repair shop portrait construction device, including:

[0059] The information acquisition module 11 is used to acquire the diagnostic information corresponding to the vehicle, the basic information of the vehicle and the basic information of the repair shop based on the vehicle diagnostic instrument, and trigger the corresponding cloud database storage operation;

[0060] The data processing module 12 is used to process the diagnostic information, the basic vehicle information and the basic repair shop information stored in the cloud database to obtain processed data;

[0061] The data analysis module 13 is used to use the processed data to analyze the repair vehicle types, regional rankings and cumulative repair vehicle numbers of the repair shops, so as to obtain analysis results corresponding to each of the repair shops;

[0062] The portrait construction module 14 is used to generate labels based on preset portrait construction rules and the analysis results corresponding to each of the repair shops, and use the obtained label information to construct a portrait to determine the current repair shop portrait.

[0063] Among them, for more specific working processes of the above-mentioned modules, please refer to the corresponding contents disclosed in the aforementioned embodiments, which will not be repeated here.

[0064] It can be seen that in this embodiment, based on the vehicle diagnostic instrument, the diagnostic information, basic vehicle information and basic repair plant information corresponding to the vehicle are obtained, and the corresponding cloud database storage operation is triggered; the diagnostic information, basic vehicle information and basic repair plant information stored in the cloud database are processed to obtain processed data; the processed data are used to analyze the repair model, regional ranking and cumulative repair vehicle number of the repair plant respectively, so as to obtain the analysis results corresponding to each repair plant respectively; based on the preset portrait construction rules and the analysis results corresponding to each repair plant respectively, labels are generated, and the obtained label information is used to construct the portrait to determine the current repair plant portrait. That is, in this application, the vehicle diagnostic instrument is first used to obtain the vehicle diagnostic information, basic vehicle information and basic repair plant information, and then the above information is used to analyze the repair model, regional ranking and cumulative repair vehicle number of the repair plant respectively, and the analysis results of each repair plant are used to generate labels to determine the current repair plant portrait. In this way, the vehicle diagnostic instrument is effectively used to accurately construct the vehicle repair plant portrait, so that the technical strength and maintenance experience of the repair plant can be intuitively, accurately and reliably displayed, providing strong support for the development of the repair plant.

[0065] In some specific embodiments, the information acquisition module 11 can be specifically used to read the basic information of the vehicle based on the vehicle diagnostic instrument and the vehicle's on-board automatic diagnostic system interface; the basic information of the vehicle includes the vehicle model and frame number; the basic information of the vehicle's repair shop is obtained using the repair shop basic information input interface of the vehicle diagnostic instrument; the basic information of the repair shop includes the name of the repair shop, the contact information of the repair shop and the address of the repair shop.

[0066] In some specific embodiments, the information acquisition module 11 can be specifically used to upload the diagnostic information corresponding to the vehicle, the basic vehicle information and the basic repair shop information and store them in association with each other in a cloud database located in a cloud server.

[0067] In some specific embodiments, the data processing module 12 can be specifically used to process the diagnostic information, the vehicle basic information and the repair shop basic information saved in the cloud database to identify and delete duplicate data and abnormal data, so as to complete the corresponding data processing operations and obtain processed data.

[0068] In some specific embodiments, the data analysis module 13 can be specifically used to determine the types of vehicle models repaired by each repair shop and the number of vehicles corresponding to each type of vehicle repaired by analyzing the processed data, and to sort based on the number of vehicles corresponding to each type of vehicle repaired to determine the target vehicle models that each repair shop is good at; based on the preset area demarcation information, the types of vehicle models repaired by each repair shop and the number of vehicles corresponding to each type of vehicle repaired, sort based on vehicle models and vehicle numbers as indicators to determine the regional ranking information of each repair shop; determine the cumulative number of vehicles repaired by each repair shop by analyzing the processed data.

[0069] In some specific embodiments, the portrait construction module 14 can be specifically used to generate labels based on the analysis results corresponding to each of the repair shops to obtain label information of each of the repair shops; the label information includes a repair shop address label, a model label that the repair shop is good at, a cumulative number of repaired vehicles label, and a regional ranking label; a list form is used to construct the portrait using the label information of each of the repair shops to determine the current repair shop portrait.

[0070] In some specific embodiments, the vehicle repair shop portrait construction device can also be used to jump back to the step of obtaining diagnostic information corresponding to the vehicle, basic vehicle information and basic repair shop information based on the vehicle diagnostic instrument based on pre-configured update time information, so as to complete the corresponding portrait update operation and obtain an updated current repair shop portrait.

[0071] Furthermore, the present application also discloses an electronic device. Figure 4 This is a structural diagram of an electronic device 20 according to an exemplary embodiment. The content in the diagram cannot be regarded as any limitation on the scope of use of the present application.

[0072] Figure 4 A schematic diagram of the structure of an electronic device 20 provided in an embodiment of the present application. The electronic device 20 may specifically include: at least one processor 21, at least one memory 22, a power supply 23, a communication interface 24, an input / output interface 25, and a communication bus 26. The memory 22 is used to store a computer program, which is loaded and executed by the processor 21 to implement the relevant steps in the vehicle repair shop portrait construction method disclosed in any of the aforementioned embodiments. In addition, the electronic device 20 in this embodiment may specifically be an electronic computer.

[0073] In this embodiment, the power supply 23 is used to provide working voltage for each hardware device on the electronic device 20; the communication interface 24 can create a data transmission channel between the electronic device 20 and the external device, and the communication protocol it follows is any communication protocol that can be applied to the technical solution of the present application, and is not specifically limited here; the input and output interface 25 is used to obtain external input data or output data to the outside world, and its specific interface type can be selected according to specific application needs and is not specifically limited here.

[0074] In addition, the memory 22, as a carrier for storing resources, can be a read-only memory, a random access memory, a disk or an optical disk, etc. The resources stored thereon can include an operating system 221, a computer program 222, etc., and the storage method can be temporary storage or permanent storage.

[0075] The operating system 221 is used to manage and control the hardware devices and computer programs 222 on the electronic device 20, and can be Windows Server, Netware, Unix, Linux, etc. In addition to the computer program that can be used to complete the vehicle repair shop portrait construction method executed by the electronic device 20 disclosed in any of the aforementioned embodiments, the computer program 222 can further include computer programs that can be used to complete other specific tasks.

[0076] Furthermore, the present application also discloses a computer-readable storage medium for storing a computer program; wherein, when the computer program is executed by a processor, the vehicle repair shop portrait construction method disclosed above is implemented. The specific steps of the method can refer to the corresponding contents disclosed in the above embodiments, and will not be repeated here.

[0077] In this specification, each embodiment is described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the embodiments can be referred to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part.

[0078] Professionals may further appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in the above description according to function. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians may use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0079] The steps of the method or algorithm described in conjunction with the embodiments disclosed herein may be implemented directly using hardware, a software module executed by a processor, or a combination of the two. The software module may be placed in a random access memory (RAM), a memory, a read-only memory (ROM), an electrically programmable ROM, an electrically erasable programmable ROM, a register, a hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.

[0080] Finally, it should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.

[0081] The technical solution provided by the present application is introduced in detail above. Specific examples are used in this article to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method of the present application and its core idea. At the same time, for general technicians in this field, according to the idea of ​​the present application, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as a limitation on the present application.

Claims

1. A vehicle repair shop portrait construction method, characterized in that: include: Obtain diagnostic information, basic vehicle information, and basic repair shop information corresponding to the vehicle based on the vehicle diagnostic instrument, and trigger corresponding cloud database storage operations; Processing the diagnostic information, the basic vehicle information, and the basic repair shop information stored in the cloud database to obtain processed data; Using the processed data, respectively, the repair shop's repair vehicle model analysis, regional ranking analysis, and cumulative repair vehicle number analysis are performed to obtain analysis results corresponding to each of the repair shops; Labels are generated based on preset portrait construction rules and the analysis results corresponding to each of the repair shops, and the obtained label information is used to construct a portrait to determine the current repair shop portrait.

2. The vehicle repair shop portrait construction method according to claim 1, characterized in that: The method of obtaining the diagnostic information corresponding to the vehicle, the basic vehicle information and the basic repair shop information based on the vehicle diagnostic instrument includes: Reading basic vehicle information based on a vehicle diagnostic instrument and an on-board automatic diagnostic system interface of the vehicle; the basic vehicle information includes vehicle model and vehicle frame number; The basic information of the vehicle's repair shop is obtained by using the basic information input interface of the vehicle diagnostic instrument; the basic information of the repair shop includes the name of the repair shop, the contact information of the repair shop and the address of the repair shop.

3. The vehicle repair shop portrait construction method according to claim 1, characterized in that: The triggering of the corresponding cloud database storage operation includes: The diagnostic information, the basic vehicle information and the basic repair shop information corresponding to the vehicle are uploaded and stored in a cloud database located in a cloud server.

4. The vehicle repair shop portrait construction method according to claim 1, characterized in that: The processing of the diagnostic information, the basic vehicle information, and the basic repair shop information stored in the cloud database includes: The diagnostic information, the basic vehicle information and the basic repair shop information stored in the cloud database are processed to identify and delete duplicate data and abnormal data, so as to complete the corresponding data processing operation and obtain processed data.

5. The vehicle repair shop portrait construction method according to claim 1, characterized in that: The processing data is used to analyze the repair vehicle model, regional ranking and cumulative repair vehicle number of the repair shop, including: Determine the types of vehicles to be repaired by each repair shop and the number of vehicles corresponding to each type of vehicle to be repaired by analyzing the processed data, and sort the vehicles based on the number of vehicles corresponding to each type of vehicle to determine the target vehicle models that each repair shop is good at; Based on the preset area demarcation information, the types of vehicle repaired by each of the repair shops, and the number of vehicles corresponding to each type of vehicle repaired, sorting is performed using the vehicle type and the number of vehicles as indicators to determine the regional ranking information of each of the repair shops; The accumulated number of vehicles repaired by each of the repair shops is determined by analyzing the processed data.

6. The vehicle repair shop portrait construction method according to claim 1, characterized in that: The step of generating labels based on preset profile building rules and the analysis results corresponding to the respective repair shops, and using the obtained label information to build the profile includes: Generate labels based on the analysis results corresponding to each of the repair shops to obtain label information of each of the repair shops; the label information includes a repair shop address label, a model label that the shop is good at, a cumulative number of repaired vehicles label, and a regional ranking label; The profiles of the current repair shop are constructed by using the label information of each repair shop in a list format.

7. The vehicle repair shop image construction method according to any one of claims 1 to 6, characterized in that: Also includes: Based on the pre-configured update time information, jump back to the step of obtaining the diagnostic information corresponding to the vehicle, the basic vehicle information and the basic repair shop information based on the vehicle diagnostic instrument to complete the corresponding portrait update operation and obtain the updated current repair shop portrait.

8. A vehicle repair shop portrait construction device, characterized in that: include: An information acquisition module is used to acquire diagnostic information corresponding to the vehicle, basic vehicle information, and basic repair shop information based on the vehicle diagnostic instrument, and trigger corresponding cloud database storage operations; A data processing module, used to process the diagnostic information, the basic vehicle information and the basic repair shop information stored in the cloud database to obtain processed data; A data analysis module, for using the processed data to respectively analyze the repair vehicle types, regional rankings and cumulative repair vehicle numbers of the repair shops, so as to obtain analysis results corresponding to each of the repair shops; The portrait construction module is used to generate labels based on preset portrait construction rules and the analysis results corresponding to each of the repair shops, and use the obtained label information to construct a portrait to determine the current repair shop portrait.

9. An electronic device, characterized in that: include: Memory, used to store computer programs; A processor, configured to execute the computer program to implement the vehicle repair shop portrait construction method as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: Used to store a computer program, which, when executed by a processor, implements the vehicle repair shop portrait construction method as described in any one of claims 1 to 7.

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